• Build and scale a strong culture of operational excellence by defining standards and coaching teams to own reliability and availability. • Drive mature DevOps/SRE practices, including incident response and PIRs, on-call readiness, runbooks, alerting, observability, and release/change management. • Establish reliability frameworks such as SLIs/SLOs and error budgets, and use them to guide prioritization and engineering trade-offs. • Provide visibility into system health through clear operational metrics and reliability reporting. • Guide teams in the design, development, evolution, and operation of large-scale, distributed cloud systems. • Influence product and system direction through design reviews, architectural discussions, and cross-team collaboration. • Share knowledge through clear, high-quality documentation and technical communication—internally and, where appropriate, externally—to help teams build and operate systems more effectively. • As the reliability foundation matures, grow into broader application and product development leadership, contributing architectural and technical depth beyond operations.

• Build and scale a strong culture of operational excellence by defining standards and coaching teams to own reliability and availability. • Drive mature DevOps/SRE practices, including incident response and PIRs, on-call readiness, runbooks, alerting, observability, and release/change management. • Establish reliability frameworks such as SLIs/SLOs and error budgets, and use them to guide prioritization and engineering trade-offs. • Provide visibility into system health through clear operational metrics and reliability reporting. • Guide teams in the design, development, evolution, and operation of large-scale, distributed cloud systems. • Influence product and system direction through design reviews, architectural discussions, and cross-team collaboration. • Share knowledge through clear, high-quality documentation and technical communication—internally and, where appropriate, externally—to help teams build and operate systems more effectively. • As the reliability foundation matures, grow into broader application and product development leadership, contributing architectural and technical depth beyond operations.

• Design and implement generative AI models for automated building design, including floor plan generation, facade design, and structural optimization using state-of-the-art architectures (diffusion models, transformers, GANs). • Develop computer vision pipelines for design and drawing analysis using modern frameworks like YOLO, SAM, and NeRF-based 3D reconstruction. • Build graph neural networks and geometric deep learning models for structural analysis and MEP (Mechanical, Electrical, Plumbing) system optimization. • Create reinforcement learning systems for multi-objective building optimization (energy efficiency, cost, occupant comfort, sustainability metrics). • Integrate AI models with industry-standard BIM tools (Revit, Rhino/Grasshopper) through custom APIs and plugins. • Deploy production ML pipelines using modern MLOps practices, including experiment tracking (Weights & Biases, MLflow), model versioning, and A/B testing frameworks. • Implement physics-informed neural networks for building performance simulation and predictive modeling. • Collaborate with architects and engineers to ensure AI systems produce practical, code-compliant, and constructible designs. • Lead research initiatives and publish findings to establish us as a thought leader in AEC AI innovation.

• Design, develop, and implement cloud infrastructure solutions, ensuring high availability, scalability, and security. • Write clean, efficient, and well-documented infrastructure code using Terraform, CloudFormation, or other IaC tools. • Collaborate with cross-functional teams to design and integrate infrastructure solutions that support software development and deployment. • Work closely with external stakeholders, including customers, to understand requirements, conduct system testing, and implement necessary improvements. • Optimize system performance, monitor infrastructure health, and ensure robust, reliable operations. • Debug and troubleshoot system issues, identifying and implementing effective solutions.